The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.
Diabetic nephropathy—emerging epigenetic mechanisms
Open accessAbstract
Diabetic nephropathy (DN), a severe microvascular complication frequently associated with both type 1 and type 2 diabetes mellitus, is a leading cause of renal failure. The condition can also lead to accelerated cardiovascular disease and macrovascular complications. Currently available therapies have not been fully efficacious in the treatment of DN, suggesting that further understanding of the molecular mechanisms underlying the pathogenesis of DN is necessary for the improved management of this disease. Although key signal transduction and gene regulation mechanisms have been identified, especially those related to the effects of hyperglycaemia, transforming growth factor β1 and angiotensin II, progress in functional genomics, high-throughput sequencing technology, epigenetics and systems biology approaches have greatly expanded our knowledge and uncovered new molecular mechanisms and factors involved in DN. These mechanisms include DNA methylation, chromatin histone modifications, novel transcripts and functional noncoding RNAs, such as microRNAs and long noncoding RNAs. In this Review, we discuss the significance of these emerging mechanisms, how they mediate the actions of growth factors to augment the expression of extracellular matrix and inflammatory genes associated with DN and their potential usefulness as diagnostic biomarkers or novel therapeutic targets for DN.
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Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883
Biochemistry and molecular cell biology of diabetic complications
Brownlee, M. (2001) · Nature · doi:10.1038/414813a · Cited by 9,107
Effects of Intensive Glucose Lowering in Type 2 Diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802743 · Cited by 7,888
Brenner, B. M., Cooper, M. E., de Zeeuw, D., Keane, W. F., Mitch, W. E., Parving, H.-H., Remuzzi, G., Snapinn, S. M., Zhang, Z., & Shahinfar, S. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011161 · Cited by 7,493
Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802987 · Cited by 7,397
Functions of DNA methylation: islands, start sites, gene bodies and beyond
Jones, P. A. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3230 · Cited by 6,061
Oxidative stress and diabetic complications
Giacco, F., & Brownlee, M. (2010) · Circulation Research · doi:10.1161/circresaha.110.223545 · Cited by 5,461
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TGF-β: the master regulator of fibrosis
Meng, X.-M., Nikolic-Paterson, D. J., & Lan, H. Y. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.48 · Cited by 3,528
Renal tubule injury: a driving force toward chronic kidney disease
Liu, B.-C., Tang, T.-T., Lv, L.-L., & Lan, H.-Y. (2018) · Kidney International · doi:10.1016/j.kint.2017.09.033 · Cited by 913
Genetics of Type 2 Diabetes—Pitfalls and Possibilities
Prasad, R., & Groop, L. (2015) · Genes · doi:10.3390/genes6010087 · Cited by 458
Tomita, I., Kume, S., Sugahara, S., Osawa, N., Yamahara, K., Yasuda-Yamahara, M., Takeda, N., Chin-Kanasaki, M., Kaneko, T., Mayoux, E., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.020 · Cited by 376
Drawnel, F. M., Boccardo, S., Prummer, M., Delobel, F., Graff, A., Weber, M., Gérard, R., Badi, L., Kam-Thong, T., Bu, L., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.09.055 · Cited by 247
Metadata
- Authors
- Kato, M., & Natarajan, R.
- Venue
- Nature Reviews Nephrology
- Published
- 2014-07-08
- Volume
- 10
- Issue
- 9
- Pages
- 517-530
- ISSN
- 1745-8323 (ISSN-L)
- 1759-5061
- 1759-507X
- OpenAlex
- W1492748176
- Cited by
- 318
- References
- 195
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- green
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